Data Ai Engineer

Avance Consulting; Santander; Presencial; EUR 55.000 - 75.000; Jornada completa

Descripción de la vacante

Avance Consulting is seeking a Data & AI Engineer with strong GCP experience to design robust data pipelines, handle ingestion and tokenization, and drive AI-enabled business solutions in Santander. The role bridges traditional data engineering with generative AI, requiring Python mastery and Airflow expertise while deploying LLM-powered workflows into production.

You will collaborate with cross-functional teams and apply prompt engineering to improve model performance and reliability; Looker

Formación

• Strong Google Cloud Platform (GCP) expertise.
• Proficiency in BigQuery and data engineering practices.
• Experience with data ingestion and tokenization.
• Strong Python programming skills.
• Hands-on Apache Airflow experience.
• Experience with LLMs, prompt engineering, and deploying AI models to production.
• Looker experience is a plus.

Responsabilidades

• Design, build, and maintain scalable data pipelines and ingestion processes.
• Implement data tokenization strategies to ensure data security and compliance.
• Develop and optimize workflows using Apache Airflow.
• Integrate LLMs into production environments, including designing and optimizing agentic workflows.
• Apply prompt engineering techniques to improve model performance and reliability.
• Collaborate with cross-functional teams to deliver high-quality data solutions.

Conocimientos

GCP

BigQuery

Data Ingestion

Data Tokenization

Python

Airflow

LLMs

Prompt Engineering

Agentic Workflows

Production Deployment

Herramientas

Looker

Descripción del empleo

• We are seeking a highly skilled Data & AI Engineer with extensive GCP experience to join our team.
• In this role, you will be responsible for building robust data pipelines, managing data ingestion and tokenization, and leveraging cutting-edge AI technologies to drive business solutions.
• The ideal candidate will bridge the gap between traditional data engineering and advanced generative AI implementation.

Key Responsibilities :

• Design, build, and maintain scalable data pipelines and ingestion processes.
• Implement data tokenization strategies to ensure data security and compliance.
• Develop and optimize workflows using Apache Airflow.
• Integrate LLMs into production environments, including designing and optimizing agentic workflows.
• Apply prompt engineering techniques to improve model performance and reliability.
• Collaborate with cross-functional teams to deliver high-quality data solutions.

Qualifications :

Technical Skills:

• Strong expertise in Google Cloud Platform (GCP).
• Proficiency in BigQuery and general Data Engineering practices.
• Experience with Data Ingestion and Data Tokenization.
• Strong programming skills in Python.
• Hands-on experience with Apache Airflow.

AI/ML Expertise: Proven experience with LLMs, prompt engineering, agentic workflows, and deploying AI models into production.

Preferred Skills:

Experience with Looker is highly preferred but not mandatory.